pseudo-rest-api VS copycat

Compare pseudo-rest-api vs copycat and see what are their differences.

pseudo-rest-api

🛑 PseudoRESTAPI is a no-code tool for creating fake REST APIs within minutes! (by netervati)

copycat

Generate deterministic fake values: The same input will always generate the same fake-output. (by snaplet)
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pseudo-rest-api copycat
1 14
1 321
- 3.4%
9.4 8.8
4 months ago 3 months ago
TypeScript TypeScript
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pseudo-rest-api

Posts with mentions or reviews of pseudo-rest-api. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-28.

copycat

Posts with mentions or reviews of copycat. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-23.

What are some alternatives?

When comparing pseudo-rest-api and copycat you can also consider the following projects:

vercel - Develop. Preview. Ship.

Replibyte - Seed your development database with real data ⚡️

faker - Generate massive amounts of fake data in the browser and node.js

falso - All the Fake Data for All Your Real Needs 🙂

helm-charts - neondatabase helm charts

fakey - web-based fake data generator.

postgres-wasm - A PostgresQL server in your browser

Mongo Seeding - 🌱 The ultimate solution for populating your MongoDB database.

ClickHouse - ClickHouse® is a free analytics DBMS for big data

greenmask - PostgreSQL database anonymization tool

webusb - Connecting hardware to the web.

data-spring - Easily generate a dummy dataset based on a provided config